1. Conduid
  2. AI
  3. Gemini Tutorial
MCP server · AI

Gemini Tutorial

by · github.com/GuiBibeau/mcp-gemini-tutorial

Building MCP Servers with Google Gemini

Unclaimed last commit a year ago ai
InstallView source
46Fair

Scored 5 months ago · breakdown

About Gemini Tutorial

Gemini Tutorial is an MCP server published by GuiBibeau in the AI category: building MCP Servers with Google Gemini.

The repository has 25 stars and 3 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/GuiBibeau/mcp-gemini-tutorial

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Gemini Tutorial

Powered by Claude · Grounded in docs

I know everything about Gemini Tutorial. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 9 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • !License declaredNo license file. Legally you have no right to use it in a product.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

MCP with Gemini Tutorial

This repository contains the complete code for the tutorial on building Model Context Protocol (MCP) servers with Google's Gemini 2.0 model, as described in this blog post.

What is Model Context Protocol (MCP)?

MCP is an open standard developed by Anthropic that enables AI models to seamlessly access external tools and resources. It creates a standardized way for AI models to interact with tools, access the internet, run code, and more, without needing custom integrations for each tool or model.

Key benefits include:

  • Interoperability: Any MCP-compatible model can use any MCP-compatible tool
  • Modularity: Add or update tools without changing model integrations
  • Standardization: Consistent interface reduces integration complexity
  • Separation of Concerns: Clean division between model capabilities and tool functionality

Project Overview

This tutorial demonstrates how to:

  • Build a complete MCP server with Brave Search integration
  • Connect it to Google's Gemini 2.0 model
  • Create a flexible architecture for AI-powered applications

Getting Started

Prerequisites

  • Bun (for fast TypeScript execution)
  • Brave Search API key
  • Google API key for Gemini access

Installation

# Clone the repository
git clone https://github.com/GuiBibeau/mcp-gemini-tutorial.git
cd mcp-tutorial

# Install dependencies
bun install

Environment Setup

Create a .env file with your API keys:

BRAVE_API_KEY="your_brave_api_key"
GOOGLE_API_KEY="your_google_api_key"

Usage

Running the Basic Client

bun examples/basic-client.ts

Running the Gemini Integration

bun examples/gemini-tool-function.ts

Project Structure

  • src/ - Core implementation of the MCP server and tools
  • examples/ - Example clients demonstrating how to use the MCP server
  • tests/ - Test files for the project

Tools Implemented

This MCP server exposes two main tools:

  1. Web Search: For general internet searches via Brave Search
  2. Local Search: For finding businesses and locations via Brave Search

Extending the Project

You can add your own tools by:

  1. Defining a new tool with a schema
  2. Implementing the functionality
  3. Registering it with the MCP server

Learn More

License

MIT

This project was created using bun init in bun v1.1.37. Bun is a fast all-in-one JavaScript runtime.

README fetched from the repository 9 hours ago. The original is authoritative.

Questions

About Gemini Tutorial

How do I install Gemini Tutorial?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Gemini Tutorial safe to use with an AI agent?

Its trust score is 46 out of 100 (fair). It passes 3 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Gemini Tutorial still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.